The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
Oak Ridge National Laboratory

ORNL licenses revolutionary AI system to General Motors for automotive use

27-Apr-2021 10:00 AM EDT, by Oak Ridge National Laboratory

Newswise — The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design. 

The AI system, known as MENNDL, uses evolution to design optimal convolutional neural networks – algorithms used by computers to recognize patterns in datasets of text, images or sounds. General Motors will assess MENNDL’s potential to accelerate advanced driver assistance systems technology and design. This is the first commercial license for MENNDL as well as the first AI technology to be commercially licensed from ORNL. 

Once trained, neural networks can accomplish specific tasks – for example, recognizing faces in photos – far faster and at much greater scale than humans. However, designing effective neural networks can take even the most expert coders up to a year or more. 

The MENNDL AI system can dramatically speed up that process, evaluating thousands of optimized neural networks in a matter of hours, depending on the power of the computer used. It has been designed to run on a variety of different systems, from desktops to supercomputers, equipped with graphics processing units. 

“MENNDL leverages compute power to explore all the different design parameters that are available to you, fully automated, and then comes back and says, ‘Here's a list of all the network designs that I tried. Here are the results – the good ones, the bad ones.’ And now, in a matter of hours instead of months or years, you have a full set of network designs for a particular application,” said Robert Patton, head of ORNL’s Learning Systems Group and leader of the MENNDL development team. 

A 2018 finalist for the Association for Computing Machinery’s Gordon Bell Prize and a 2018 R&D 100 Award winner, MENNDL uses an evolutionary algorithm that not only creates deep learning networks to solve problems but also evolves network design on the fly. By automatically combining and testing millions of parent networks, it breeds high-performing optimized neural networks. 

For automakers, MENNDL can be used to accelerate advanced driver assistance technology by tackling one of the biggest problems facing the adoption of this technology: How can cars quickly and accurately perceive their surroundings to navigate safely through them? 

The use of MENNDL offers potential to better clear that roadblock. Leveraging advanced neural networks that can instantly analyze on-board camera feeds and correctly label each object in the car’s field of view, this type of advanced computing has the potential to enable more efficient energy usage for vehicles while increasing their onboard computing capacity. 

Since its inception in 2014, MENNDL has been used in applications ranging from identifying neutrino collisions for Fermi National Accelerator Laboratory to analyzing data generated by scanning transmission electron microscopes. Last year, in a project with the Stony Brook Cancer Center at Stony Brook University in New York, MENNDL was used on ORNL’s Summit supercomputer to create neural networks that can detect cancer markers in biopsy images much faster than doctors. 

This work is supported by the DOE Office of Energy Efficiency and Renewable Energy’s Vehicle Technologies Office and the DOE Office of Science. 

This research used resources of the Oak Ridge Leadership Computing Facility, a DOE Office of Science user facility. 

UT-Battelle manages Oak Ridge National Laboratory for DOE’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOE’s Office of Science is working to address some of the most pressing challenges of our time. For more information, visit energy.gov/science. -- Coury Turczyn

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Newswise: Accelerating the Speed of Science
Released: 18-Jun-2021 2:35 PM EDT
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Released: 16-Jun-2021 10:10 AM EDT
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Newswise: Accelerating the Speed of Science
Released: 18-Jun-2021 2:35 PM EDT
Accelerating the Speed of Science
Pacific Northwest National Laboratory

Researchers will be able to design their own computer accelerators for faster analysis of large datasets

16-Jun-2021 10:05 AM EDT
Argonne and Oak Ridge National Laboratories Award Codeplay Software to Further Strengthen SYCL™ Support Extending the Open Standard Software for AMD GPUs
Argonne National Laboratory

Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers.

Newswise: An Ally for Alloys
Released: 16-Jun-2021 6:20 PM EDT
An Ally for Alloys
Pacific Northwest National Laboratory

Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.

Released: 16-Jun-2021 1:50 PM EDT
Department of Energy Announces $4 Million for Isotope R&D
Department of Energy, Office of Science

Today, the U.S. Department of Energy (DOE) announced $4 million in funding for 10 awards across 5 efforts to advance R&D for isotope production. This funding is part of a key federal program that produces critical isotopes otherwise unavailable or in short supply for U.S. science, medicine, and industry.

Newswise: A Cousin of Table Salt Could Make Energy Storage Faster and Safer
Released: 16-Jun-2021 10:10 AM EDT
A Cousin of Table Salt Could Make Energy Storage Faster and Safer
Department of Energy, Office of Science

Scientists have found that lithium vanadium oxide can rapidly charge and discharge energy. The material has a structure similar to table salt but with a more random atomic arrangement. It charges and discharges without growing lithium metal “dendrites” that can cause dangerous short circuits. This could lead to safer, faster-charging batteries for electric vehicles.

Newswise: Internships Put Futures in Flight
Released: 15-Jun-2021 6:05 PM EDT
Internships Put Futures in Flight
Pacific Northwest National Laboratory

PNNL intern Ki Ahn spent this past year as an undergraduate at PNNL gaining hands-on research experience in clean energy storage technologies for vehicles and aviation. Ahn is enrolling in Stanford University this fall to finish his bachelor’s degree. With plans to major in mechanical engineering or computer science, he wants to explore how future aircraft technologies can be designed to reduce harmful environmental effects.

Newswise: Researchers Poised To Deliver Key Scientific Findings In The Fast Lane
Released: 15-Jun-2021 4:25 PM EDT
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PPPL forges ahead with development of streaming media to provide rapid analysis of key findings of remote fusion experiments.

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VIDEO
Released: 15-Jun-2021 4:05 PM EDT
Efficient Dehumidifier Makes Air Conditioning a Breeze
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New energy-efficient dehumidifier technology holds promise to reduce energy consumption in residential A/C systems and increase the range of electric vehicles.

Newswise:Video Embedded can-artificial-intelligence-open-new-doors-for-materials-discovery
VIDEO
Released: 15-Jun-2021 2:45 PM EDT
Can Artificial Intelligence Open New Doors for Materials Discovery?
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